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Discover · GitHub · Open Deep Research↑ +23 today

In-depth research with autonomous artificial intelligence

Developed by LangChain, open-deep-research is an autonomous system that performs multi-step searches on the internet to answer complex questions. It facilitates deep research processes by automating the research process through planning, data collection and synthesis stages.

Updates

  • August 22, 2026: Stars 12,307 → 12,655, repository archived, development stopped.

What you get

  • Multi-step autonomous research for complex questions
  • Compatibility with different model providers and search tools
  • Research processes visualized via LangGraph

Installation

Cloning the repository and preparing the environment
git clone https://github.com/langchain-ai/open_deep_research.git
cd open_deep_research
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
Installing dependencies
uv sync
# or
uv pip install -r pyproject.toml

Running it

Starting the server
# Install dependencies and start the LangGraph server
uvx --refresh --from "langgraph-cli[inmem]" --with-editable . --python 3.11 langgraph dev --allow-blocking

If you don't write code

🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)

Conduct an in-depth analysis of [WRITE YOUR RESEARCH TOPIC HERE] using the Open Deep Research tool. Plan your research process, collect data online, and synthesize your findings to create a comprehensive report.

Related dictionary terms

Artificial Intelligence
Who it is forIt is for developers and researchers who want to automate autonomous research processes on complex topics.
LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-22: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.